9798303148406 - Mastering Apache Spark: Real-Time Big Data Analytics: Build Large-Scale Data Processing Pipelines with Apache Spark de Chesterfield, Greyson (5 resultados)

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Taschenbuch. Condición: Neu. Neuware - Unlock the power of big data with Mastering Apache Spark: Real-Time Big Data Analytics! This comprehensive guide is your ultimate resource for building, processing, and analyzing large-scale data using Apache Spark, the fast, flexible, and powerful open-source framework for big data processing. Whether you're a data engineer, scientist, or analyst, this book will teach you how to harness Spark's real-time analytics capabilities to process and analyze massive datasets.

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Paperback. Condición: new. Paperback. Unlock the power of big data with Mastering Apache Spark: Real-Time Big Data Analytics! This comprehensive guide is your ultimate resource for building, processing, and analyzing large-scale data using Apache Spark, the fast, flexible, and powerful open-source framework for big data processing. Whether you're a data engineer, scientist, or analyst, this book will teach you how to harness Spark's real-time analytics capabilities to process and analyze massive datasets.Apache Spark is widely used for its speed, ease of use, and scalability. It's the go-to solution for building data pipelines, running machine learning algorithms, and processing streams of real-time data. In this book, you'll learn everything from the fundamentals of Spark to advanced techniques for scaling your big data workflows.What's Inside: Getting Started with Apache Spark: Learn the core concepts behind Apache Spark, including Spark RDDs, DataFrames, and Spark SQL, and how to set up Spark on your system or in the cloud.Real-Time Data Processing: Dive into real-time data processing with Spark Streaming, handling live data streams, and building real-time analytics applications.Building Data Pipelines: Learn how to design and implement scalable data pipelines that can process large volumes of structured and unstructured data.Data Analytics with Spark: Explore how to analyze big data using Spark's powerful libraries, including Spark MLlib for machine learning and Spark GraphX for graph processing.Optimizing Spark Performance: Discover strategies to optimize Spark performance, including partitioning, caching, and using the Catalyst optimizer for SQL queries.Advanced Spark Topics: Get hands-on with advanced topics like Spark on Kubernetes, Spark integration with Hadoop, and deploying Spark on cloud platforms such as AWS and Azure.Batch vs. Stream Processing: Learn when to use batch processing and when to go for stream processing for different use cases in data analytics.Use Cases and Real-World Applications: Explore real-world use cases for Spark in industries like finance, healthcare, e-commerce, and IoT.By the end of this book, you'll be equipped with the knowledge and hands-on experience to build efficient, scalable data pipelines and perform advanced real-time big data analytics using Apache Spark.Ready to master big data with Spark? Grab your copy now and start building powerful, high-performance data solutions that scale with your business needs! This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.